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  <title>Description of gauss_smooth</title>
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<h1>gauss_smooth
</h1>

<h2><a name="_name"></a>PURPOSE <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
<div class="box"><strong>Applies Gaussian smoothing to a (multidimensional) image.</strong></div>

<h2><a name="_synopsis"></a>SYNOPSIS <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
<div class="box"><strong>function [L,filters] = gauss_smooth( I, sigmas, shape, radius ) </strong></div>

<h2><a name="_description"></a>DESCRIPTION <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
<div class="fragment"><pre class="comment"> Applies Gaussian smoothing to a (multidimensional) image.

 Smooths the n-dimensional array I with a n-dimensional gaussian with standard deviations
 specified by sigmas.  This operation in linearly seperable and is implemented as such.

 INPUTS
   I       - imput image
   sigmas  - either n dimensional or 1 dimensional vector of standard devs
           - if sigmas(n)&lt;=.3 then does not smooth along that dimension
   shape   - [optional] shape to use in convolution [default == 'full']
   radius  - [optional] radius in units of standard deviation [default == 2.25]

 OUTPUTS
   L       - smoothed image
   filters - actual filters used, cell array of length n

 DATESTAMP
   29-Sep-2005  2:00pm</pre></div>

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<h2><a name="_cross"></a>CROSS-REFERENCE INFORMATION <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
This function calls:
<ul style="list-style-image:url(../matlabicon.gif)">
<li><a href="../filters/filter_gauss_1D.html" class="code" title="function f = filter_gauss_1D( r, sigma, show )">filter_gauss_1D</a>	1D Gaussian filter.</li><li><a href="convn_fast.html" class="code" title="function C = convn_fast( A, B, shape )">convn_fast</a>	Fast convolution, replacement for both conv2 and convn.</li></ul>
This function is called by:
<ul style="list-style-image:url(../matlabicon.gif)">
<li><a href="histc_sift_nD.html" class="code" title="function hs = histc_sift_nD( I, edges, pargmask, weightmask, multch )">histc_sift_nD</a>	Creates a series of locally position dependent histograms.</li><li><a href="optflow_corr.html" class="code" title="function [Vx,Vy,reliab] = optflow_corr( I1, I2, patch_r, search_r, sigma, thr, show )">optflow_corr</a>	Calculate optical flow using cross-correlation.</li><li><a href="optflow_horn.html" class="code" title="function [Vx,Vy] = optflow_horn( I1, I2, sigma, show )">optflow_horn</a>	Calculate optical flow using Horn & Schunck.</li><li><a href="optflow_lucaskanade.html" class="code" title="function [Vx,Vy,reliab]=optflow_lucaskanade( I1, I2, win_n, win_sig, sigma, thr, show )">optflow_lucaskanade</a>	Calculate optical flow using Lucas & Kanade.  Fast, parallel code.</li></ul>
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